Job DescriptionRole Purpose

Hands on engineer to build Python based GenAI and AWS Bedrock solutions, contributing to RAG pipelines, agent workflows, and production-ready AI features under senior guidance.

Roles ResponsibilitiesKey Responsibilities

- Develop GenAI features and workflows using Python and AWS Bedrock

- Implement RAG pipelines (chunking, embeddings, retrieval, grounding)

- Build single/multi-step agent workflows using LangChain / LangGraph

- Integrate LLMs with APIs, tools, and enterprise applications

- Write tested, maintainable Python code with CI/CD pipelines

- Monitor basic latency, token usage, and cost metrics

- Collaborate with architects, seniors, and QA teams

Technical RequirementMust Have Skills

Python - Core concepts: OOP, typing, modules, pytest/unittest, fixtures, basic async





AWS Bedrock - Model invocation (Claude/Titan, etc.), Knowledge bases or retrieval integration, basic understanding of guardrails access controls

Generative AI - Prompting (system, few-shot), RAG types and approaches, Basic evaluation awareness, LangChain / LangGraph , Straightforward agent flows and routing

DevOps Basics - Git, PRs, CI pipelines, Docker basics, artifacts

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Educational RequirementBachelor of Engineering

Preferred SkillsTechnology->AI-Data science->PYTHON,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)

Service LineTopaz COE unit

📌 GenAI / Agentic AI Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru